Description: This article shows how to deal with very large CSV files and the R programming language.

Description: Reviews different software and/or language choices for data visualization based on 6 dimensions. Number 4 out of a series of 5 articles on data visualization.

Description: This paper applies GPUs and deep learning to achieve orders of magnitude performance improvement in the valuation of large portfolios of variable annuities.

Description: Summary of research titled Understanding VM-20 Results.

Description: Discussions of alternative approaching to setting ascribed premiums for market risk benefits under FASB targeted improvements.

Description: Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience to set modeling assumptions and margins.

Description: Continued look at unlocking of traditional contract valuation assumptions, this time examining the frequency of true up for actual experience.

Description: In this continuation of our July 2013 article we explore an algorithm for evaluating Hidden Markov Models in detail. A preferred method in speech recognition technology, Hidden Markov Models are a promising technique when dealing with data you suspect may be driven by a change in a unobservable state. The example in the article is provided in an Excel workbook for the reader to follow along with.

Description: An introduction of predictive modeling techniques that are applicable to insurance industry, including generalized linear model (GLM) and classification and regression tree model(CART). Other models such as data clustering, neural network, and support vector machine (SVM), are also briefly discussed.

Description: Introduces the new behavioral finance subgroup and talks about why such a subgroup is needed.